Cargando…
Development of a Smartphone Application for Clinical-Guideline-Based Obesity Management
OBJECTIVES: The purpose of the study was to develop and evaluate a clinical-guideline-based smartphone application ('app') for obesity management. METHODS: Obesity-related knowledge and functional requirements were extracted from clinical practice guidelines, a literature review, and consu...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Medical Informatics
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4330194/ https://www.ncbi.nlm.nih.gov/pubmed/25705553 http://dx.doi.org/10.4258/hir.2015.21.1.10 |
_version_ | 1782357546609147904 |
---|---|
author | Jeon, Eunjoo Park, Hyeoun-Ae |
author_facet | Jeon, Eunjoo Park, Hyeoun-Ae |
author_sort | Jeon, Eunjoo |
collection | PubMed |
description | OBJECTIVES: The purpose of the study was to develop and evaluate a clinical-guideline-based smartphone application ('app') for obesity management. METHODS: Obesity-related knowledge and functional requirements were extracted from clinical practice guidelines, a literature review, and consultations with experts. The extracted knowledge was used to design obesity-management algorithms, and the functions of the developed app are presented through a use case diagram and activity diagrams. The database and user interface were designed and then an app was developed. The proficiency and efficiency of the algorithm were evaluated using scenarios, while the user interface was assessed using a mobile heuristics evaluation tool, with its usability determined using the Post-Study System Usability Questionnaire. RESULTS: In total, 131 obesity-related knowledge statements and 11 functions for the app were extracted, and 5 algorithms (comprising 1 main algorithm and 4 subalgorithms) were developed. The database comprised 11 tables and 41 screens. The app was developed using the Android SDK platform 4.0.3, JDK 1.7.0, and Eclipse. The overall proficiency and efficiency scores of the algorithm were 88.0 and 69.1, respectively. In heuristics tests, 57 comments were made, and the mean usability score was 3.47 out of 5. Thirteen usability problems were identified by the heuristics and usability evaluations. CONCLUSIONS: The app developed in this study might be helpful for weight management because it can provide high-quality health information and intervention without spatial or temporal constraints. However, the clinical effectiveness of this app still requires further investigation. |
format | Online Article Text |
id | pubmed-4330194 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Korean Society of Medical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-43301942015-02-22 Development of a Smartphone Application for Clinical-Guideline-Based Obesity Management Jeon, Eunjoo Park, Hyeoun-Ae Healthc Inform Res Original Article OBJECTIVES: The purpose of the study was to develop and evaluate a clinical-guideline-based smartphone application ('app') for obesity management. METHODS: Obesity-related knowledge and functional requirements were extracted from clinical practice guidelines, a literature review, and consultations with experts. The extracted knowledge was used to design obesity-management algorithms, and the functions of the developed app are presented through a use case diagram and activity diagrams. The database and user interface were designed and then an app was developed. The proficiency and efficiency of the algorithm were evaluated using scenarios, while the user interface was assessed using a mobile heuristics evaluation tool, with its usability determined using the Post-Study System Usability Questionnaire. RESULTS: In total, 131 obesity-related knowledge statements and 11 functions for the app were extracted, and 5 algorithms (comprising 1 main algorithm and 4 subalgorithms) were developed. The database comprised 11 tables and 41 screens. The app was developed using the Android SDK platform 4.0.3, JDK 1.7.0, and Eclipse. The overall proficiency and efficiency scores of the algorithm were 88.0 and 69.1, respectively. In heuristics tests, 57 comments were made, and the mean usability score was 3.47 out of 5. Thirteen usability problems were identified by the heuristics and usability evaluations. CONCLUSIONS: The app developed in this study might be helpful for weight management because it can provide high-quality health information and intervention without spatial or temporal constraints. However, the clinical effectiveness of this app still requires further investigation. Korean Society of Medical Informatics 2015-01 2015-01-31 /pmc/articles/PMC4330194/ /pubmed/25705553 http://dx.doi.org/10.4258/hir.2015.21.1.10 Text en © 2015 The Korean Society of Medical Informatics http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Jeon, Eunjoo Park, Hyeoun-Ae Development of a Smartphone Application for Clinical-Guideline-Based Obesity Management |
title | Development of a Smartphone Application for Clinical-Guideline-Based Obesity Management |
title_full | Development of a Smartphone Application for Clinical-Guideline-Based Obesity Management |
title_fullStr | Development of a Smartphone Application for Clinical-Guideline-Based Obesity Management |
title_full_unstemmed | Development of a Smartphone Application for Clinical-Guideline-Based Obesity Management |
title_short | Development of a Smartphone Application for Clinical-Guideline-Based Obesity Management |
title_sort | development of a smartphone application for clinical-guideline-based obesity management |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4330194/ https://www.ncbi.nlm.nih.gov/pubmed/25705553 http://dx.doi.org/10.4258/hir.2015.21.1.10 |
work_keys_str_mv | AT jeoneunjoo developmentofasmartphoneapplicationforclinicalguidelinebasedobesitymanagement AT parkhyeounae developmentofasmartphoneapplicationforclinicalguidelinebasedobesitymanagement |